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Teradata: Embrace the Power of PaaS

Cloud Musings

When it comes to big data analytics, Teradata delivers these Platform-as-a-Service advantages by delivering industry andbusiness process aligned components within their PaaS. Through this strategy, the company was relieved of most of the care and feeding of its data warehouse.

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Fountainhead: CA's Acquisition of Cassatt - Hindsight & Foresight

Fountainhead

The instantiation of these observations was a product that put almost all of the datacenter on "autopilot" -- Servers, VMs, switches, load-balancers, even server power controllers and power strips. Does it sound like Amazons recent CloudWatch, Auto-Scaling and Elastic Load Balancing announcement? Big Data. (6).

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Fountainhead: An Ideal Datacenter-in-a-Box, Part II

Fountainhead

The 13 different functions are mapped onto the data center "stack" at right. They span management of both physical and virtual software, servers, I/O, networking, etc. -- as well as higher-level functions such as High-Availability and Disaster Recovery. Big Data. (6). Data Center efficiency. (1).

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Managing What Matters In the Cloud: The Apps » Data Center.

Data Center Knowledge

He has more than 20 years of experience in assisting cloud, storage and data management technology companies as well as cloud service providers to address rapidly expanding Infrastructure-as-a-Service and big data sectors. Data Center Infrastructure Management. Disaster Recovery. Data Center Videos.

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Fountainhead: Emergence of Fabric as an IT Management Enabler

Fountainhead

The next step is to define in software the converged network, its switching, and even network devices such as load balancers. Provisioning of the network, VLANs, IP load balancing, etc. 2) Disaster Recovery: we can re-constitute an environment of server profiles, including all of their networking, ports, addresses, etc.,

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Fountainhead: Converged Infrastructure Part 2.

Fountainhead

And I mean I/O components like NICs and HBAs, not to mention switches, load balancers and cables. And, if you can now logically re-define server and infrastructure profiles, you can also create simplified Disaster recovery tools too. Big Data. (6). Data Center efficiency. (1). Syndications.

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Fountainhead: IO Virtualization: The ?Hypervisor? for Your.

Fountainhead

Disaster Recovery – expanding on the example above, if an entire domain of servers fails, the entire group of server IO states, networking states, etc. Big Data. (6). Data Center efficiency. (1). This provides a ‘universal’ style of failover that doesn’t require clustering software.